In the framework of the CoForChange project, (predicing the effects of global change on forest biodiversity in the Congo Basin region) we propose a new method of satellite imagery analysis to characterise the spatial patterns of tropical forest in central Africa. We use a 10-year time series remotely sensed data from TERRA-MODIS sensor to identify the variations of forest photosynthetic activity intensty within a synthesis year. The processing was done using the 16-days enhanced vegetation index data and crossing this information with field inventories. We found a good match between the satellite imagery and the gradient of evergreen dominance.This detailes spatial and temporal information should provide a better basis to monitor carbon in this poorly known region.
GOND Valerie;
PENNEC A.;
FAYOLLE A.;
GOURLET-FLEURY S.;
MAYAUX Philippe;
2011-01-04
COMMONWEALTH FORESTRY ASSOC
JRC61084
1465-5489,
http://www.cfa-international.org/IUFRO%20abstracts%202010.pdf,
https://publications.jrc.ec.europa.eu/repository/handle/JRC61084,
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